In one aspect, a computerized method useful for implementing a language neutral virtual assistant including the step of providing a language detector. The language detector comprises one or more trained language classifiers. With language detector identifying a language of an incoming message from a user to an artificially intelligent (AI) personal assistant. The method includes the step of receiving an incoming message to the AI personal assistant. The method includes the step of normalizing the incoming message, wherein the normalizing the incoming message comprises a set of spelling corrections and a set of grammar corrections. The method includes the step of translating the incoming message to a specified language with a specified encoding process and a specified decoding process. The method includes the step of providing an AI personal assistant engine that comprise an artificial intelligence which conducts a conversation via auditory or textual methods. The AI personal assistant engine provides outputs a response translator. The method includes the step of providing a response translator that uses the AI personal assistant engine output to provide a response to the user.
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2. The computerized method of claim 1, the AI personal assistant engine refines the output to refine the translation of the incoming message.
3. The computerized method of claim 1, wherein the normalizing of the incoming message comprises an entity replacement.
The invention relates to a computerized method for processing and normalizing incoming messages, particularly in the context of natural language processing or communication systems. The method addresses the challenge of standardizing messages to improve consistency, accuracy, or compatibility with downstream systems. A key aspect of the method involves normalizing the incoming message by performing an entity replacement. This step replaces specific entities within the message, such as names, dates, or other identifiable elements, with standardized or generalized representations. For example, a person's name might be replaced with a placeholder or a generic term to ensure privacy or consistency. The normalization process may also include other steps, such as converting text to lowercase, removing special characters, or applying grammatical corrections, to further standardize the message format. The method is designed to enhance the reliability of message processing, particularly in applications like chatbots, customer support systems, or data analysis tools where consistent input is critical. By replacing entities, the system can reduce variability in the data, making it easier to analyze, categorize, or respond to messages accurately. The overall goal is to improve the efficiency and effectiveness of automated message handling in various technological applications.
5. The computerized system of claim 4, the AI personal assistant engine refines the output to refine the translation of the incoming message.
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October 27, 2019
October 18, 2022
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